Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
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curl https://depscope.dev/api/check/conda/r-estimatrFirst published · 2020-09-02 08:49:39.347000+00:00
Last updated · 2025-09-17 10:27:37.088000+00:00